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Exploratory Data Analysis with Pandas Python 2023
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Rob Mulla
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Learning is fun when you are driven by curiosity. I create videos that showcase what is possible with data science and programming, hopefully sparking that very curiosity. I try to take a diverse approach to the content I create: - Short videos that teach one specific concept. - Tutorials that show what is possible with various python packages or machine learning models. - Live coding streams where the topics are driven by the chat and community. Links to my stuff: * Youtube: https://youtube.com/@robmulla?sub_confirmation=1 * Discord: https://discord.gg/HZszek7DQc * Twitch: https://www.twitch.tv/medallionstallion_ * Twitter: https://twitter.com/Rob_Mulla * Kaggle: https://www.kaggle.com/robikscube * Instagram https://www.instagram.com/datasciencerob/reels/
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Intro
Kaggle Notebook
Data Preparation
Drop Command
DTypes
Rename
Missing Values
Duplicated
Value Counts
Plot
Histogram
Feature Relationships
Scatter Plot
Pair Plot
Correlation
Question
2:34
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Exploratory Data Analysis with Pandas Python 2023

Rob Mulla
Rob Mulla
120K subscribers
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259K views 1 year ago Medallion Python Data Science Coding Videos
259,944 views • Premiered Dec 31, 2021 • Medallion Python Data Science Coding Videos
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In this video about exploratory data analysis with pandas and python, Kaggle grandmaster Rob Mulla will teach you the basics of how to explore data using python and pandas. Exploratory Data Analysis it a necessary tool for any data scientist. Pandas is a MUST for anyone getting into data science with python. Python is the #1 coding language for data science and has been growing over the years as an essential tool, with Pandas being the main data wrangling  …...more
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Medallion Python Data Science Coding Videos

Exploratory Data Analysis with Pandas Python 2023

259,944 views259K views
Premiered Dec 31, 2021
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Rob Mulla
Rob Mulla
120K subscribers
<__slot-el>
In this video about exploratory data analysis with pandas and python, Kaggle grandmaster Rob Mulla will teach you the basics of how to explore data using python and pandas. Exploratory Data Analysis it a necessary tool for any data scientist. Pandas is a MUST for anyone getting into data science with python. Python is the #1 coding language for data science and has been growing over the years as an essential tool, with Pandas being the main data wrangling module. Kaggle Grandmaster Rob goes over it all in this video. In this video we discuss the basics of how to use explore data including... Timestamps: 00:00 Introduction 01:00 Imports and reading data 03:35 Data Understanding 06:40 Data Preparation 20:57 Feature Understanding 27:35 Feature Relationships 35:30 Asking a Question about the Data 40:00 Final Thoughts Follow me on twitch for live coding streams: https://www.twitch.tv/medallionstallion_ Intro to Pandas video:    • A Gentle Introduction to Pandas Data ...   Link to kaggle notebook used in the tutorial: https://www.kaggle.com/robikscube/int... * Youtube:    / @robmulla   * Twitch: https://www.twitch.tv/medallionstallion_ * Twitter: https://twitter.com/MedallionData * Kaggle: https://www.kaggle.com/robikscube #Python #Coding #DataScience #Kaggle

Chapters

Intro

Intro

0:00

Intro

0:00

Kaggle Notebook

Kaggle Notebook

0:54

Kaggle Notebook

0:54

Data Preparation

Data Preparation

6:38

Data Preparation

6:38

Drop Command

Drop Command

9:49

Drop Command

9:49

DTypes

DTypes

11:31

DTypes

11:31

Rename

Rename

12:51

Rename

12:51

Missing Values

Missing Values

14:36

Missing Values

14:36

Duplicated

Duplicated

16:31

Duplicated

16:31

Featured playlist

33 videos
Medallion Python Data Science Coding Videos
Rob Mulla

Transcript

Follow along using the transcript.

Rob Mulla

120K subscribers
Videos
About
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Linnea Caraballo
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1 year ago
Chapters don't appear to be working for my videos for some reason. Here are the timestamps for the video: 00:00 Introduction 01:00 Imports and reading data 03:35 Data Understanding 06:40 Data Preparation 20:57 Feature Understanding 27:35 Feature Relationships 35:30 Asking a Question about the Data 40:00 Final Thoughts
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@saintsaens3517

@saintsaens3517

7 months ago
As a begginer in data this really opend my eyes as to how things works. Your explanations are very clear and I can feel how passionate you are. Great video
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❤ by Rob Mulla
Rob Mulla
·
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@saptarshidey7672

@saptarshidey7672

1 month ago
There are a ton of EDA videos on YouTube. This is one of the best I have ever come across. You just nailed it, Rob.
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Rob Mulla
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@sa-pt3kf

@sa-pt3kf

7 months ago
By far one of the most clear and concise ways of teaching in a computer science related field I've come across in a while. I'll be binging all your tutorials for sure!
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❤ by Rob Mulla
Rob Mulla
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@Aarron-io3pm

@Aarron-io3pm

5 months ago (edited)
Hi Rob, this was super useful to me as a tired Excel veteran and python beginner. You explain and demonstrate everything so clearly, thank you
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@JHornsby89

@JHornsby89

9 months ago
This is the second one of these I have now watched and coded along with! Genuinely awesome content, so precise and simple to follow. You make daunting tasks (for beginners getting into data) really accessible which is a sign of a great teacher!
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❤ by Rob Mulla
Rob Mulla
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@jackgarn8392

@jackgarn8392

6 months ago
This is such an amazing guide! I’m new to data analysis and had limited python exposure and have taught myself most of these things so far by googling or just reading the pandas documentation. Watching someone familiar with the process do it all together was really helpful and gave me a lot of insights as to how I can improve my skills and workflow. Thank you so so much!
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@chrisosomo2856

@chrisosomo2856

5 months ago
I can’t get enough of your videos, especially the very hands-on practical approach to learning. Your explanations are clear and easy to follow along with. Please make more of these types of videos. You are definitely makes a change and contributing to the YouTube knowledge pool. Thank you so much.
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@SearchingforScraps

@SearchingforScraps

4 months ago
Wow ! this is such a clean run through. You make it look so easy and easy to learn ! Thank you so much. This is giving me the confidence to finally start something on my own.
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@wesleyweel8007

@wesleyweel8007

11 months ago
The quality of your content is only surpassed by the ease at which it is to assimilate it, keep up the great content Rob, cheers!
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❤ by Rob Mulla
Rob Mulla
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@romanrodin5669

@romanrodin5669

6 months ago
Great channel! Very helpful for beginners and for those who' re digging deeper and moving forward into DS industry as myself! Thanks Rob!
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@silver_soul98

@silver_soul98

2 months ago
I have tried plenty of tutorials by now. This is the most precise and to-the-point tutorial so far. Well done.
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@leonrobinson2053

@leonrobinson2053

2 weeks ago
Late to the party but this is really really good. Helps you dig in to the detail (rather than you thinking, how do I do what I'm thinking I need to do). This should be a template to use as it general enough for you to pick it up but specific enough with examples to be used elsewhere
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@dhauss8218

@dhauss8218

5 months ago
This is incredible, I have been out of school for a few years and I'm now super inspired to learn python/pandas and the other libraries. One thing I wanted to point out, maybe I'm wrong, but would the solution for the sample question involve looking at the upper quartile of the roller coaster speeds as opposed to averages? This way locations with more coasters in total, would not be averaged down by slower coasters in their total count?
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@rajeevnair8815

@rajeevnair8815

1 year ago
Thanks for the excellent video on EDA, Rob. It'd be great if you could do a complete EDA on a relatively complex dataset, wherein we have scope for feature engineering, by exploring feature interactions and stuff like that. Thanks!
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❤ by Rob Mulla
Rob Mulla
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@aayaanhasnain5143

@aayaanhasnain5143

4 months ago
Hey Rob, really admired the way you explained complicated topics with ease!! Looking forward to learning from you more :)
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❤ by Rob Mulla
Rob Mulla
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@mattsmithyy

@mattsmithyy

5 months ago
Great video, really informative! One question - when dropping the duplicate rows would it not be better to use the .drop_duplicates method? This way you can determine whether to keep the first or last duplicate whereas here it is unclear which row will be kept.
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@muhammadfadliaktsar7172

@muhammadfadliaktsar7172

2 months ago
Thank you Rob for your explanation, before this it was hard for me to study and my mind just start pressured me of how to do EDA with Python language. And this video just open my mind to study it!
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@jonathanhody3622

@jonathanhody3622

1 year ago
Extremely interesting! Thank you for the content, I really like the way you go step by step in your approach, it makes it very easy to understand for non-advanced people like me
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❤ by Rob Mulla
Rob Mulla
·
·
@marcinkrol7984

@marcinkrol7984

1 month ago
Thanks - very interesting video. I am only hesitating if it makes sense to use dropna() when using corr() on a DataFrame (as you did at 34:01). My impression is that pandas does it itself for every pair of features (it means it drops rows when there are missing values in this pair), so adding dropna() as you did only limits number of observations (rows) that are under analysis of correlation. Am I wrong?
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@sheshankjoshi

@sheshankjoshi

6 months ago
This is perfect for my interview tomorrow. I just needed a refresher on how to approach the problem, ask right questions and then come up with exploratory options. Thank You so much for this video
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@user-et7zv5rs3q

@user-et7zv5rs3q

2 months ago
this is absolutely amazing! Follow your video step by step actually make me more confident of my coding!
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@wahabamin6946

@wahabamin6946

7 months ago
Thanks Rob, you’re doing a great job for the data science community. Your videos here and on TikTok is helping me a lot in this journey. Thank you.
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❤ by Rob Mulla
Rob Mulla
·
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@iiN1GH7M4R3ii

@iiN1GH7M4R3ii

3 months ago
Great stuff man, thanks so much for this. Youre great at teaching beginners!!!!
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@moxie1189

3 months ago
Hey Rob, amazing video. Would you consider an A/B testing project?
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@rrestituti

7 months ago
#1 Data science youtuber!!! You made easy to understand the basic commands e sintaxes. Thank you a lot, Rob. 😉
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❤ by Rob Mulla
·
·

@siddhant0701

8 months ago
This was a really nice tutorial, Rob. Had fun coding along, thanks for doing it :)
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❤ by Rob Mulla
·
·

@eyadamin4089

7 months ago
Hello , I hope you can make a video about statistics , explain what ever plot is telling you and how will each plot help you and stuff like that , thank you very much btw very clear and clean explanation 🔥❤️
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1
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·
·

@walterpark8824

8 months ago
Terrific introductory survey that answered so many of my questions, moving from SQL. Looks extremely efficient. Now, to plug into my data! Thanks.
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❤ by Rob Mulla
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@pythonfordataanalysis84

4 months ago
You are the best coach. Thank you, sir!
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@nunolopes3910

7 months ago
This type of videos are amazing to follow, i am starting to use python for data analysis and i could not happier! Your channel is helping me alot, thank you!
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❤ by Rob Mulla
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@shihaosun6861

6 months ago
Thank you very much Rob for this wonderful walkthrough and explanation! Really Appreciate it!!!!
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·

@nguyenduyta7136

7 months ago
Many thanks for your good working. You have a good voice to hear and good words to understand ❤👍🎉. Hope one day you open a data science course from zero to hero that help people have good jobs
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1
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@codecode6419

6 months ago
I am spending my weekend with your videos and I would like to say that I have learned several tricks to use python's libraries efficiently. Thanks for your explanation and your time to provide the videostrophy-yellow-smiling
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@ziggle314

7 months ago
Excellent example, Rob. Thanks for these great tutorials.
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@rdatta

1 month ago
Excellent work and introduction. Very well done!
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@anuragarunedlabadkar8889

7 months ago
Excellent explanation Rob. Learned a lot from this video. Keep it up.
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@lashlarue7924

4 months ago
Rob you are the MAN! Thank you for sharing your knowledge with the rest of us! 😅🙌
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@adarshtiwari7395

7 months ago
I have been grinding through your videos lately in preperation for my data science job and you have been an absolute blessing! Thanks a bunch!!
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@alisonhenley2551

3 months ago
Wow, what an informative fun tutorial. Thanks Rob!
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Chapters

These chapters are auto-generated

Intro

Intro

0:00

Intro

0:00

Kaggle Notebook

Kaggle Notebook

0:54

Kaggle Notebook

0:54

Data Preparation

Data Preparation

6:38

Data Preparation

6:38

Drop Command

Drop Command

9:49

Drop Command

9:49

DTypes

DTypes

11:31

DTypes

11:31

Rename

Rename

12:51

Rename

12:51

Missing Values

Missing Values

14:36

Missing Values

14:36

Duplicated

Duplicated

16:31

Duplicated

16:31

Value Counts

Value Counts

20:56

Value Counts

20:56

Plot

Plot

23:21

Plot

23:21

Histogram

Histogram

25:16

Histogram

25:16

Feature Relationships

Feature Relationships

27:31

Feature Relationships

27:31

Scatter Plot

Scatter Plot

28:26

Scatter Plot

28:26

Pair Plot

Pair Plot

32:01

Pair Plot

32:01

Correlation

Correlation

34:01

Correlation

34:01

Question

Question

35:31

Question

35:31
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Description

Exploratory Data Analysis with Pandas Python 2023
Rob Mulla
Rob Mulla
In this video about exploratory data analysis with pandas and python, Kaggle grandmaster Rob Mulla will teach you the basics of how to explore data using python and pandas. Exploratory Data Analysis it a necessary tool for any data scientist. Pandas is a MUST for anyone getting into data science with python. Python is the #1 coding language for data science and has been growing over the years as an essential tool, with Pandas being the main data wrangling module. Kaggle Grandmaster Rob goes over it all in this video. In this video we discuss the basics of how to use explore data including... Timestamps: 00:00 Introduction 01:00 Imports and reading data 03:35 Data Understanding 06:40 Data Preparation 20:57 Feature Understanding 27:35 Feature Relationships 35:30 Asking a Question about the Data 40:00 Final Thoughts Follow me on twitch for live coding streams: https://www.twitch.tv/medallionstallion_ Intro to Pandas video:    • A Gentle Introduction to Pandas Data ...   Link to kaggle notebook used in the tutorial: https://www.kaggle.com/robikscube/int... * Youtube:    / @robmulla   * Twitch: https://www.twitch.tv/medallionstallion_ * Twitter: https://twitter.com/MedallionData * Kaggle: https://www.kaggle.com/robikscube #Python #Coding #DataScience #Kaggle
Show less Show more

Chapters

Intro

Intro

0:00

Intro

0:00

Kaggle Notebook

Kaggle Notebook

0:54

Kaggle Notebook

0:54

Data Preparation

Data Preparation

6:38

Data Preparation

6:38

Drop Command

Drop Command

9:49

Drop Command

9:49

Featured playlist

33 videos
Medallion Python Data Science Coding Videos
Rob Mulla

Transcript

Follow along using the transcript.

Rob Mulla

120K subscribers
Videos
About

Comments 350

Top comments
Newest first

Transcript

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